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Solving high-dimensional partial differential equations using deep learning
Developing algorithms for solving high-dimensional partial differential equations (PDEs) has been an exceedingly difficult task for a long time, due to the notoriously difficult problem known as the “curse of dimensionality.” This paper introduces a deep learning-based approach that can handle gener...
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| 出版年: | Proc Natl Acad Sci U S A |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6112690/ https://ncbi.nlm.nih.gov/pubmed/30082389 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1718942115 |
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